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CoRR, December 2024
- Abigail Devereaux, Roger Koppl:
The use of knowledge in open-ended systems. - Jessica Syafaq Muthmaina:
The Femininomenon of Inequality: A Data-Driven Analysis and Cluster Profiling in Indonesia. - Shouvick Mondal, Tse-Hsun Chen:
On Rank Aggregating Test Prioritizations. - Minjun Kim, Sina Falaki:
A Supercomputing Based Distributed Cloud Marketplace. - Jiacheng Ma, Matthis Thorade:
Frost/Defrost Models for Air-Source Heat Pumps with Retained Water Refreezing Considered. - Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen:
Partitioning Message Passing for Graph Fraud Detection. - Humam Kourani, Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst:
Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis. - Michael Griebel, Guanglian Li, Christian Rieger:
On the Numerical Approximation of the Karhunen-Loève Expansion for Random Fields with Random Discrete Data. - Neel Redkar:
Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers. - Frédéric Berdoz, Roger Wattenhofer:
Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies. - Martin Moesmann, Torben Bach Pedersen:
Data-Driven Prescriptive Analytics Applications: A Comprehensive Survey. - Tofara Moyo:
Creating Hierarchical Dispositions of Needs in an Agent. - Luis Vilaca, Yi Yu, Paula Vinan:
A Survey of Recent Advances and Challenges in Deep Audio-Visual Correlation Learning. - Matthew Pierson, Zia Mehrabi:
Mapping waterways worldwide with deep learning. - Leila Gheisi, Henry Chu, Raju Gottumukkala, Yan Luo, Xingquan Zhu, Mengyu Wang, Min Shi:
TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction. - Muhammad Suleman Ali Hamdani, Khizer Zakir, Neetu Kushwaha, Syeda Eman Fatima, Hassan Aftab Sheikh:
Brick Kiln Dataset for Pakistan's IGP Region Using AI. - Lingzheng Zhang, Lifeng Shen, Yimin Zheng, Shiyuan Piao, Ziyue Li, Fugee Tsung:
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting. - Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou:
Less is More: Efficient Model Merging with Binary Task Switch. - Ferhat Özgür Çatak, Murat Kuzlu, Taylor Patrick:
Improving Medical Diagnostics with Vision-Language Models: Convex Hull-Based Uncertainty Analysis. - Wei Lin, Qingyu Song, Hong Xu:
Adaptive Coordinate-Wise Step Sizes for Quasi-Newton Methods: A Learning-to-Optimize Approach. - Shezheng Song, Chengxiang He, Shasha Li, Shan Zhao, Chengyu Wang, Tianwei Yan, Xiaopeng Li, Qian Wan, Jun Ma, Jie Yu, Xiaoguang Mao:
MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image. - Zhuofan Wen, Shangtong Gui, Yang Feng:
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration. - Xuesong Wang, Sharaf K. Magableh, Oraib Dawaghreh, Caisheng Wang, Jiaxuan Gong, Zhongyang Zhao, Michael H. Liao:
Deep Learning-Based Electricity Price Forecast for Virtual Bidding in Wholesale Electricity Market. - Youngkyu Lee, Shanqing Liu, Jérôme Darbon, George Em Karniadakis:
Automatic discovery of optimal meta-solvers via multi-objective optimization. - Massine El Khader, Elias Al Bouzidi, Abdellah Oumida, Mohammed Sbaihi, Eliott Binard, Jean-Philippe Poli, Wassila Ouerdane, Boussad Addad, Katarzyna Kapusta:
DiffGuard: Text-Based Safety Checker for Diffusion Models. - Chenhan Zhang, Benjamin Zi Hao Zhao, Hassan Asghar, Dali Kaafar:
Targeted Therapy in Data Removal: Object Unlearning Based on Scene Graphs. - Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, Ali Fathi Jouzdani, Nima Sanati, Mehdi Maghsudi, Bonnie Leung, Cheryl Ho, Ren Yuan, Arman Rahmim:
Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets. - Mingyu Cao, Gen Li, Jie Ji, Jiaqi Zhang, Xiaolong Ma, Shiwei Liu, Lu Yin:
Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning. - Gang Dang, Dianhui Wang:
Recurrent Stochastic Configuration Networks with Hybrid Regularization for Nonlinear Dynamics Modelling. - Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan:
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection. - Max Roberts, Ian Colwell, Clara Chew, Dallas Masters, Karl Nordstrom:
The Muon Space GNSS-R Surface Soil Moisture Product. - Justin Jiang:
Addressing Vulnerabilities in AI-Image Detection: Challenges and Proposed Solutions. - Avinash Amballa, Durga Sandeep Saluru, Gayathri Akkinapalli, Abhishek Sureddy, Akshay Kumar Sureddy:
Safe to Serve: Aligning Instruction-Tuned Models for Safety and Helpfulness. - Nikita Kisel, Illia Volkov, Katerina Hanzelkova, Klara Janouskova, Jiri Matas:
Flaws of ImageNet, Computer Vision's Favourite Dataset. - Nima Sedaghat, Tanawan Chatchadanoraset, Colin Orion Chandler, Ashish Mahabal, Maryam Eslami:
Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics. - Antonio Andrea Gargiulo, Donato Crisostomi, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Emanuele Rodolà:
Task Singular Vectors: Reducing Task Interference in Model Merging. - Guangli Li, Zhehao Zhou, Tuo Sun, Ping Tan, Li Zhang, Zhen Liang:
Dual Prototyping with Domain and Class Prototypes for Affective Brain-Computer Interface in Unseen Target Conditions. - Ching-Yi Wang:
Visual Error Patterns in Multi-Modal AI: A Statistical Approach. - Xiu Yuan:
Unpacking the Individual Components of Diffusion Policy. - Songjiang Lai, Tsun-Hin Cheung, Jiayi Zhao, Kaiwen Xue, Ka-Chun Fung, Kin-Man Lam:
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments. - Neel Jawale, Byron Boots, Balakumar Sundaralingam, Mohak Bhardwaj:
Dynamic Non-Prehensile Object Transport via Model-Predictive Reinforcement Learning. - Cong Wang, Weizhe Yang, Haiping Wang, Renjie Yang, Jing Li, Zhijun Wang, Xinyao Yu, Yixiong Wei, Xianli Huang, Zhaoyang Liu, Changqing Zou, Zhifeng Zhao:
ONION: Physics-Informed Deep Learning Model for Line Integral Diagnostics Across Fusion Devices. - Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi:
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators. - Zuguang Li, Shaohua Wu, Liang Li, Songge Zhang:
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks. - Libin Liu, Shen Chen, Sen Jia, Jingzhe Shi, Zhongyu Jiang, Can Jin, Wu Zongkai, Jenq-Neng Hwang, Lei Li:
Graph Canvas for Controllable 3D Scene Generation. - Waheed Rehman:
A Novel Approach to Image Steganography Using Generative Adversarial Networks. - Feiyang Huang:
OFCap:Object-aware Fusion for Image Captioning. - Zhyar Rzgar K. Rostam, Gábor Kertész:
Fine-Tuning Large Language Models for Scientific Text Classification: A Comparative Study. - Andrii Skliar, Ties van Rozendaal, Romain Lepert, Todor Boinovski, Mart van Baalen, Markus Nagel, Paul N. Whatmough, Babak Ehteshami Bejnordi:
Mixture of Cache-Conditional Experts for Efficient Mobile Device Inference. - Maitreya Patel, Song Wen, Dimitris N. Metaxas, Yezhou Yang:
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation. - Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini:
Multi-Label Contrastive Learning : A Comprehensive Study. - Pragati Shuddhodhan Meshram, Swetha Karthikeyan, Bhavya, Suma Bhat:
ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering? - Angus Fung, Aaron Hao Tan, Haitong Wang, Beno Benhabib, Goldie Nejat:
MLLM-Search: A Zero-Shot Approach to Finding People using Multimodal Large Language Models. - Alex Nguyen, Gautam Reddy:
Differential learning kinetics govern the transition from memorization to generalization during in-context learning. - Akram Yoosoofsah:
Predicting Extubation Failure in Intensive Care: The Development of a Novel, End-to-End Actionable and Interpretable Prediction System. - Kazuma Kobayashi, Farid Ahmed, Syed Bahauddin Alam:
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations & Unmeasurable Parameters. - Daojun Liang, Haixia Zhang, Jing Wang, Dongfeng Yuan, Minggao Zhang:
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data. - Xinyu Shi, Yixin Tao, Shih-Chi Lin:
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning. - Guangyao Zheng, Michael A. Jacobs, Vishwa S. Parekh:
Demographic Predictability in 3D CT Foundation Embeddings. - Yinjie Zhao, Heng Zhao, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou:
Video Set Distillation: Information Diversification and Temporal Densification. - Seong-Eun Hong, Soobin Lim, Juyeong Hwang, Minwook Chang, Hyeongyeop Kang:
BiPO: Bidirectional Partial Occlusion Network for Text-to-Motion Synthesis. - Kart-Leong Lim, Rahul Dutta, Mihai Rotaru:
Boundary-Decoder network for inverse prediction of capacitor electrostatic analysis. - Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor Tsang, Yang Liu, Qing Guo:
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. - Hui Li, Mingwang Xu, Yun Zhan, Shan Mu, Jiaye Li, Kaihui Cheng, Yuxuan Chen, Tan Chen, Mao Ye, Jingdong Wang, Siyu Zhu:
OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation. - Gilles Audemard, Christophe Lecoutre, Emmanuel Lonca:
Proceedings of the 2024 XCSP3 Competition. - Mohammed Tarnini, Saverio Iacoponi, Andrea Infanti, Cesare Stefanini, Giulia De Masi, Federico Renda:
Boundary Control Behaviors of Multiple Low-cost AUVs Using Acoustic Communication. - Luca Colombo, Fabrizio Pittorino, Manuel Roveri:
Training Multi-Layer Binary Neural Networks With Local Binary Error Signals. - Yang Liu, Jiale Du, Xinbo Gao, Jungong Han:
Relation-Aware Meta-Learning for Zero-shot Sketch-Based Image Retrieval. - Yang Liu, Xinshuo Wang, Jiale Du, Xinbo Gao, Jungong Han:
Hybrid Discriminative Attribute-Object Embedding Network for Compositional Zero-Shot Learning. - Xuexiang Niu, Jinping Tang, Lei Wang, Ge Zhu:
Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific Feedback. - Abhinav Das, Stephan Schlüter, Lorenz Schneider:
Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression combined with Kernel-Based Support Vector Regression. - Minkyu Lee, Sangeek Hyun, Woojin Jun, Jae-Pil Heo:
Auto-Encoded Supervision for Perceptual Image Super-Resolution. - Batuhan Sariturk, Rabia Bayraktar, Merve Elmas Erdem:
Efficient Learning Content Retrieval with Knowledge Injection. - Lei Zhou, Youwen Zhu, Qiao Xue, Ji Zhang, Pengfei Zhang:
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient. - Siqi Kou, Jiachun Jin, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng:
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. - Hengkui Wu, Panpan Chi, Yongfeng Zhu, Liujiang Liu, Shuyang Hu, Yuexin Wang, Chen Zhou, Qihao Wang, Yingsi Xin, Bruce Liu, Dahao Liang, Xinglong Jia, Manqi Ruan:
Scaling Particle Collision Data Analysis. - Bin Lin, Yunyang Ge, Xinhua Cheng, Zongjian Li, Bin Zhu, Shaodong Wang, Xianyi He, Yang Ye, Shenghai Yuan, Liuhan Chen, Tanghui Jia, Junwu Zhang, Zhenyu Tang, Yatian Pang, Bin She, Cen Yan, Zhiheng Hu, Xiaoyi Dong, Lin Chen, Zhang Pan, Xing Zhou, Shaoling Dong, Yonghong Tian, Li Yuan:
Open-Sora Plan: Open-Source Large Video Generation Model. - Lennart Köpper, Thomas Wieland:
Road User Classification from High-Frequency GNSS Data Using Distributed Edge Intelligence. - Friedhelm Hamann, Daniel Gehrig, Filbert Febryanto, Kostas Daniilidis, Guillermo Gallego:
Event-based Tracking of Any Point with Motion-Robust Correlation Features. - ShuaiHeng Li, Qing Cai, Fan Zhang, Menghuan Zhang, Yangyang Shu, Zhi Liu, Huafeng Li, Lingqiao Liu:
PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition. - Wenda Shi, Yiren Song, Dengming Zhang, Jiaming Liu, Xingxing Zou:
FonTS: Text Rendering with Typography and Style Controls. - Sihang Li, Siqi Tan, Bowen Chang, Jing Zhang, Chen Feng, Yiming Li:
Unleashing the Power of Data Synthesis in Visual Localization. - Muhammad Huzaifa, Yova Kementchedjhieva:
EFSA: Episodic Few-Shot Adaptation for Text-to-Image Retrieval. - Yihao Luo:
Differentiable Topology Estimating from Curvatures for 3D Shapes. - Chancharik Mitra, Brandon Huang, Tianning Chai, Zhiqiu Lin, Assaf Arbelle, Rogério Feris, Leonid Karlinsky, Trevor Darrell, Deva Ramanan, Roei Herzig:
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. - Sicheng Feng, Keda Tao, Huan Wang:
Is Oracle Pruning the True Oracle? - Rocco Manz Maruzzelli, Basile Lewandowski, Lydia Y. Chen:
MPQ-Diff: Mixed Precision Quantization for Diffusion Models. - Emily Liu, Michael Noseworthy, Nicholas Roy:
Semi-Supervised Neural Processes for Articulated Object Interactions. - Martin Atzmueller, Tim Bohne, Patricia Windler:
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis. - Yuichiro Kasahara, Kota Akinari, Tomoya Kouno, Noriko Sano, Taro Abe, Genki Yamauchi, Daisuke Endo, Takeshi Hashimoto, Keiji Nagatani, Ryo Kurazume:
Development of CPS Platform for Autonomous Construction. - Karran Pandey, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra, Paul Guerrero:
Motion Modes: What Could Happen Next? - Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee:
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise. - Ahmad Mohammadshirazi, Pinaki Prasad Guha Neogi, Ser-Nam Lim, Rajiv Ramnath:
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness. - Quentin Houbre, Roel Pieters:
Dynamic Neural Curiosity Enhances Learning Flexibility for Autonomous Goal Discovery. - Kunyang Han, Yibo Hu, Mengxue Qu, Hailin Shi, Yao Zhao, Yunchao Wei:
ROSE: Revolutionizing Open-Set Dense Segmentation with Patch-Wise Perceptual Large Multimodal Model. - Yuxiang Zhang, Shangxi Wu, Yuqi Yang, Jiangming Shu, Jinlin Xiao, Chao Kong, Jitao Sang:
o1-Coder: an o1 Replication for Coding. - Vadim Pryadilshchikov, Alexander Markin, Artem Komarichev, Ruslan Rakhimov, Peter Wonka, Evgeny Burnaev:
T-3DGS: Removing Transient Objects for 3D Scene Reconstruction. - Taesung Kwon, Jong Chul Ye:
VISION-XL: High Definition Video Inverse Problem Solver using Latent Image Diffusion Models. - Fuqiang Zhao, Yijing Guo, Siyuan Yang, Xi Chen, Luo Wang, Lan Xu, Yingliang Zhang, Yujiao Shi, Jingyi Yu:
AerialGo: Walking-through City View Generation from Aerial Perspectives. - Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. - Di Chen, Ruiguo Zhong, Kehua Chen, Zhiwei Shang, Meixin Zhu, Edward Chung:
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections. - Mengbang Zou, Weisi Guo:
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data. - Fouad Trad, Ali Chehab:
To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models. - Xuan Ma, Zepeng Bao, Ming Zhong, Yuanyuan Zhu, Chenliang Li, Jiawei Jiang, Qing Li, Tieyun Qian:
Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective. - Weixin Mao, Weiheng Zhong, Zhou Jiang, Dong Fang, Zhongyue Zhang, Zihan Lan, Fan Jia, Tiancai Wang, Haoqiang Fan, Osamu Yoshie:
RoboMatrix: A Skill-centric Hierarchical Framework for Scalable Robot Task Planning and Execution in Open-World. - Jesús Pineda, Sergi Masó-Orriols, Joan Bertran, Mattias Goksör, Giovanni Volpe, Carlo Manzo:
Spatial Clustering of Molecular Localizations with Graph Neural Networks. - Jianping Jiang, Weiye Xiao, Zhengyu Lin, Huaizhong Zhang, Tianxiang Ren, Yang Gao, Zhiqian Lin, Zhongang Cai, Lei Yang, Ziwei Liu:
SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters. - Dragos-Alexandru Boldisor, Stefan Smeu, Dan Oneata, Elisabeta Oneata:
Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning. - Hui Ren, Joanna Materzynska, Rohit Gandikota, David Bau, Antonio Torralba:
Art-Free Generative Models: Art Creation Without Graphic Art Knowledge. - Xiaoyan Xing, Konrad Groh, Sezer Karaoglu, Theo Gevers, Anand Bhattad:
LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting. - Michele De Vita, Vasileios Belagiannis:
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation. - Bartosz Sawicki, Michal Smialek, Bartlomiej Skowron:
Towards the Ultimate Programming Language: Trust and Benevolence in the Age of Artificial Intelligence. - Huiqi Zou, Pengda Wang, Zihan Yan, Tianjun Sun, Ziang Xiao:
Can LLM "Self-report"?: Evaluating the Validity of Self-report Scales in Measuring Personality Design in LLM-based Chatbots. - Xinmeng Hou, Lingyue Fu, Chenhao Meng, Hai Hu:
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction. - Md Bokhtiar Al Zami, Shaba Shaon, Vu Khanh Quy, Dinh C. Nguyen:
Digital Twin in Industries: A Comprehensive Survey. - Zixing Wang Yi Zhang, Fulvio Forni:
Dissipative iFIR filters for data-driven design. - Luca Collini, Siddharth Garg, Ramesh Karri:
C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap. - Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, Mohammad Wardat, Mst. Shapna Akter:
Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code. - Ivory Yang, Weicheng Ma, Soroush Vosoughi:
NushuRescue: Revitalization of the Endangered Nushu Language with AI. - Apurba Saha, Iftekhar Hakim Kaowsar, Mahdi Hasnat Siyam, M. Sohel Rahman:
Algorithms for Parameterized String Matching with Mismatches. - Saurabh Mishra, Mahendra Shinde, Aniket Yadav, Bilal Ayyub, Anand Rao:
An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement. - Michail Koumpanakis, Ricardo Vilalta:
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks.